Prioritization vs. congestion on platforms: evidence from Amazon's Twitch.tv
研究了亚马逊Twitch.tv直播平台中内容优先排序与拥堵之间的权衡，通过估计供需和拥堵模型，发现无拥堵时需求翻倍，供给端拥堵税优于需求端，取消优先排序使消费者福利下降10%。
Abstract This article studies the efficient use of prioritizing certain content over others in Amazon's Twitch.tv, a live streaming service, taking into account the trade‐off between entry and congestion. I specify and estimate supply and demand models for live video, and a congestion model. Using technological shocks, I identify congestion costs for content providers and their consumers. Using shocks in prioritization, I identify its benefits. With estimated preferences and technological parameters, I construct counterfactuals. Without congestion, demand doubles. A supply‐side Pigouvian tax on traffic is preferred to a demand‐side one. Without prioritization, consumer welfare drops by 10%.